This guide shows how to manage data and data access in Databricks.
Data Explorer is a UI in which you can explore and manage data, schemas (databases), tables, and permissions.
Table access control lets you apply data governance controls for your data.
Audit logs allow your enterprise to monitor details about usage patterns across your Databricks account and workspaces.
To learn the best practices for data governance in Databricks, see Data governance best practices.
For information on Databricks security, see Databricks Security and Trust Center, which provides information about the ways in which security is built into every layer of the Databricks Lakehouse Platform.
In this guide: